WORKSHOP: Online data analysis for biologists
This record includes training materials associated with the Australian BioCommons workshop ‘Online data analysis for biologists’. This workshop took place on 21 August 2024.
Topic description
Galaxy is a web-based platform that lets you conduct accessible, reproducible, and transparent...
Keywords: Bioinformatics, Data analysis, Galaxy
WORKSHOP: Online data analysis for biologists
https://zenodo.org/records/13948826
https://dresa.org.au/materials/workshop-online-data-analysis-for-biologists
This record includes training materials associated with the Australian BioCommons workshop ‘Online data analysis for biologists’. This workshop took place on 21 August 2024.
Topic description
Galaxy is a web-based platform that lets you conduct accessible, reproducible, and transparent computational biological research. Widely used by researchers world wide, Galaxy gives you access to 1000’s of popular tools for analysis and processing of biological data. It is perfect for working with a wide range of big and small datasets including genome assembly, annotation, epigenetics, metabolomics, metagenomics, proteomics, statistics, transcriptomics, variant analysis and visualisation.
This workshop provides an introduction to using Galaxy and available tools. Using an example dataset, you’ll practice uploading data, choosing and running tools, and viewing the results. We’ll share our top tips for managing your experiments and speeding up your analysis with workflows.
Lead trainer: Dr Gareth Price, Galaxy Australia
Facilitator: Mike Thang, Galaxy Australia / QCIF
Infrastructure provision: Galaxy Australia
Host: Dr Melissa Burke, Australian BioCommons
Training Materials
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event_metadata_Online_data_analysis_for_biologists_210824 (PDF): Information about the event logistics including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Schedule_Online_data_analysis_for_biologists_210824 (PDF): Schedule for the workshop providing a breakdown of topics and timings
Materials shared elsewhere:
This workshop is based on the Galaxy Training Network tutorial ‘Galaxy basics for everyone’: https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html
A recording of this workshop is available on the Australian BioCommons YouTube Channel: https://www.youtube.com/watch?v=PF39KjOvreM
Melissa Burke (melissa@biocommons.org.au)
Price, Gareth (orcid: 0000-0003-2439-8650)
Thang, Michael
Bioinformatics, Data analysis, Galaxy
WEBINAR: Getting started with R
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with R’. This webinar took place on 16 August 2021.
Data analysis skills are now central to most biological experiments. While Excel can cover some of your data analysis needs, it is not...
Keywords: R statistical software, R studio, Tidyverse, Bioinformatics, Data analysis
WEBINAR: Getting started with R
https://zenodo.org/records/5214277
https://dresa.org.au/materials/webinar-getting-started-with-r-1c8f2b21-bc4b-4b42-9a5d-d6096a2afbe6
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with R’. This webinar took place on 16 August 2021.
Data analysis skills are now central to most biological experiments. While Excel can cover some of your data analysis needs, it is not always the best choice, particularly for large and complex datasets.
R is an open-source software and programming language that enables data exploration, statistical analysis visualisation and more. While it is the tool of choice for data analysis, getting started can be a little daunting for those without a background in statistics.
In this webinar Saskia Freytag, an R user with over a decade of experience and member of the Bioconductor Community Advisory Board, will walk you through their hints and tips for getting started with R and data analysis. She’ll cover topics like R Studio and why you need it, where to get help, basic data manipulation, visualisations and extending R with libraries. The webinar will be followed by a short Q&A session
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
Getting started with R - slides (PDF): Slides used in the presentation
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/JS7yZw7bnX8
Melissa Burke (melissa@biocommons.org.au)
Freytag, Saskia (orcid: 0000-0002-2185-7068)
R statistical software, R studio, Tidyverse, Bioinformatics, Data analysis
WORKSHOP: Make your bioinformatics workflows findable and citable
This record includes training materials associated with the Australian BioCommons workshop ‘Make your bioinformatics workflows findable and citable’. This workshop took place on 21 March 2023.
Event description
Computational workflows are invaluable resources for research communities. They help...
Keywords: Bioinformatics, Workflows, WorkflowHub, FAIR, Open Science
WORKSHOP: Make your bioinformatics workflows findable and citable
https://zenodo.org/records/7787488
https://dresa.org.au/materials/workshop-make-your-bioinformatics-workflows-findable-and-citable-74e85d1c-d869-429e-b942-8391f4bab23d
This record includes training materials associated with the Australian BioCommons workshop ‘Make your bioinformatics workflows findable and citable’. This workshop took place on 21 March 2023.
Event description
Computational workflows are invaluable resources for research communities. They help us standardise common analyses, collaborate with other researchers, and support reproducibility. Bioinformatics workflow developers invest significant time and expertise to create, share, and maintain these resources for the benefit of the wider community and being able to easily find and access workflows is an essential factor in their uptake by the community.
Increasingly, the research community is turning to workflow registries to find and access public workflows that can be applied to their research. Workflow registries support workflow findability and citation by providing a central repository and allowing users to search for and discover them easily.
This workshop will introduce you to workflow registries and support attendees to register their workflows on the popular workflow registry, WorkflowHub. We’ll kick off the workshop with an introduction to the concepts underlying workflow findability, how it can benefit workflow developers, and how you can make the most of workflow registries to share your computational workflows with the research community. You will then have the opportunity to register your own workflows in WorkflowHub with support from our trainers.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
2023-03-21_Workflows_slides (PDF): A copy of the slides presented during the workshop
Materials shared elsewhere:
A recording of the first part of this workshop is available on the Australian BioCommons YouTube Channel: https://youtu.be/2kGKxaPuQN8
Melissa Burke (melissa@biocommons.org.au)
Gustafsson, Johan (orcid: 0000-0002-2977-5032)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Bioinformatics, Workflows, WorkflowHub, FAIR, Open Science
WEBINAR: Here's one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia
This record includes training materials associated with the Australian BioCommons webinar ‘Here’s one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia’. This webinar took place on 26 October 2022.
Event description
Have you discovered a brilliant...
Keywords: Bioinformatics, Workflows, FAIR, Galaxy Australia
WEBINAR: Here's one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia
https://zenodo.org/records/7251310
https://dresa.org.au/materials/webinar-here-s-one-we-prepared-earlier-re-creating-bioinformatics-methods-and-workflows-with-galaxy-australia-134a8bf5-3801-421f-a454-e0f9020f4871
This record includes training materials associated with the Australian BioCommons webinar ‘Here’s one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia’. This webinar took place on 26 October 2022.
Event description
Have you discovered a brilliant bioinformatics workflow but you’re not quite sure how to use it? In this webinar we will introduce the power of Galaxy for construction and (re)use of reproducible workflows, whether building workflows from scratch, recreating them from published descriptions and/or extracting from Galaxy histories.
Using an established bioinformatics method, we’ll show you how to:
Use the workflows creator in Galaxy Australia
Build a workflow based on a published method
Annotate workflows so that you (and others) can understand them
Make workflows finable and citable (important and very easy to do!)
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
GalaxyWorkflows_Slides (PDF): A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/IMkl6p7hkho
Melissa Burke (melissa@biocommons.org.au)
Price, Gareth (orcid: 0000-0003-2439-8650)
Gustafsson, Johan (orcid: 0000-0002-2977-5032)
Bioinformatics, Workflows, FAIR, Galaxy Australia
WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
This record includes training materials associated with the Australian BioCommons webinar ‘bio.tools - making it easier to find, understand and cite biological tools and software’. This webinar took place on 21 June 2022.
Event description
bio.tools provides easy access to essential scientific...
Keywords: Bioinformatics, Research software, EDAM, Workflows, FAIR
WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
https://zenodo.org/records/7024050
https://dresa.org.au/materials/webinar-bio-tools-making-it-easier-to-find-understand-and-cite-biological-tools-and-software-aea38c9e-0b40-4308-bafd-f7580563f520
This record includes training materials associated with the Australian BioCommons webinar ‘bio.tools - making it easier to find, understand and cite biological tools and software’. This webinar took place on 21 June 2022.
Event description
bio.tools provides easy access to essential scientific and technical information about software, command-line tools, databases and services. It’s backed by ELIXIR, the European Infrastructure for Biological Information, and is being used in Australia to register software (e.g. Galaxy Australia, prokka). It underpins the information provided in the Australian BioCommons discovery service ToolFinder.
Hans Ienasescu and Matúš Kalaš join us to explain how bio.tools uses a community driven, open science model to create this collection of resources and how it makes it easier to find, understand, utilise and cite them. They’ll delve into how bio.tools is using standard semantics (e.g. the EDAM ontology) and syntax (e.g. biotoolsSchema) to enrich the annotation and description of tools and resources. Finally, we’ll see how the community can contribute to bio.tools and take advantage of its key features to share and promote their own research software.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
biotools_EDAM_slides (PDF): A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/K0J4_bAUG3Y
Melissa Burke (melissa@biocommons.org.au)
Ienasescu, Hans
Kalaš, Matúš (orcid: 0000-0002-1509-4981)
Bioinformatics, Research software, EDAM, Workflows, FAIR
Research Data Governance
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
If you want to share...
Keywords: data governance, data, research, FAIR, data management, authority, share, reuse, access, provenance, policy, responsibilities, ARDC_AU, training material
Research Data Governance
https://zenodo.org/records/5044585
https://dresa.org.au/materials/research-data-governance-6ad9ab90-1a29-41db-b4aa-f1988501530d
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
If you want to share the video please use this:
Australian Research Data Commons, 2021. Research Data Governance. [video] Available at: https://youtu.be/K_xVQRdgCIc DOI: http://doi.org/10.5281/zenodo.5044585 [Accessed dd Month YYYY].
contact@ardc.edu.au
Australian Research Data Commons
Martinez, Paula Andrea (type: ProjectLeader)
Wilkinson, Max (type: Editor)
Callaghan,Shannon (type: Editor)
Savill, Jo (type: Editor)
Kang, Kristan (type: Editor)
Levett, Kerry (type: Editor)
Russell, Keith (type: Editor)
Simons, Natasha (type: Editor)
data governance, data, research, FAIR, data management, authority, share, reuse, access, provenance, policy, responsibilities, ARDC_AU, training material
ARDC Skills Landscape
The Australian Research Data Commons is driving transformational change in the research data ecosystem, enabling researchers to conduct world class data-intensive research. One interconnected component of this ecosystem is skills development/uplift, which is critical to the Commons and its...
Keywords: skills, data skills, eresearch skills, community, skilled workforce, FAIR, research data management, data stewardship, data governance, data use, data generation, training material
ARDC Skills Landscape
https://zenodo.org/records/4287743
https://dresa.org.au/materials/ardc-skills-landscape-56b224ca-9e30-4771-8615-d028c7be86a6
The Australian Research Data Commons is driving transformational change in the research data ecosystem, enabling researchers to conduct world class data-intensive research. One interconnected component of this ecosystem is skills development/uplift, which is critical to the Commons and its purpose of providing Australian researchers with a competitive advantage through data.
In this presentation, Kathryn Unsworth introduces the ARDC Skills Landscape. The Landscape is a first step in developing a national skills framework to enable a coordinated and cohesive approach to skills development across the Australian eResearch sector. It is also a first step towards helping to analyse current approaches in data training to identify:
- Siloed skills initiatives, and finding ways to build partnerships and improve collaboration
- Skills deficits, and working to address the gaps in data skills
- Areas of skills development for investment by skills stakeholders like universities, research organisations, skills and training service providers, ARDC, etc.
contact@ardc.edu.au
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
skills, data skills, eresearch skills, community, skilled workforce, FAIR, research data management, data stewardship, data governance, data use, data generation, training material
ARDC Your first step to FAIR
This workshop gives a brief overview of the FAIR principles, including a method to make a one-file dataset FAIR.
Keywords: training material, FAIR, data, workshop
ARDC Your first step to FAIR
https://zenodo.org/records/5009206
https://dresa.org.au/materials/ardc-your-first-step-to-fair-1ee3dc3c-23b0-4287-b96c-c120c5697932
This workshop gives a brief overview of the FAIR principles, including a method to make a one-file dataset FAIR.
contact@ardc.edu.au
Matthias Liffers (orcid: 0000-0002-3639-2080)
Stokes, Liz (type: Editor)
Martinez, Paula Andrea (type: Editor)
Russell, Keith (type: Editor)
training material, FAIR, data, workshop
ARDC Training Materials Metadata Checklist v1.1
The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials
Keywords: checklist, Training material, FAIR, standard, requirements, metadata
ARDC Training Materials Metadata Checklist v1.1
https://zenodo.org/records/5276003
https://dresa.org.au/materials/ardc-training-materials-metadata-checklist-v1-1
The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials
contact@ardc.edu.au
Martinez, Paula Andrea (orcid: 0000-0002-8990-1985)
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
checklist, Training material, FAIR, standard, requirements, metadata
Locking the front door without leaving the windows open: positioning authentication technologies within the "Five Safes" framework for effective use of sensitive research data
This project explores the options for access to sensitive data sets; what authentication technologies (e.g. multi-factor authentication) are needed to access sensitive data and secure compute environments. This project seeks to position choices around authentication technologies within the Five...
Keywords: ARDC, Storage and Compute Summit, FAIR, Infrastructure, NCRIS, eResearch, training material
Locking the front door without leaving the windows open: positioning authentication technologies within the "Five Safes" framework for effective use of sensitive research data
https://zenodo.org/records/3547980
https://dresa.org.au/materials/locking-the-front-door-without-leaving-the-windows-open-positioning-authentication-technologies-within-the-five-safes-framework-for-effective-use-of-sensitive-research-data-b83124f8-2add-41c6-b194-d5dd50d098f6
This project explores the options for access to sensitive data sets; what authentication technologies (e.g. multi-factor authentication) are needed to access sensitive data and secure compute environments. This project seeks to position choices around authentication technologies within the Five Safes framework for research use of sensitive data, proposed in 2003 by Felix Ritchie of the UK Office of National Statistics:
• Safe Projects: is the proposed research use of the data appropriate?
• Safe People: can the users be trusted to use the data in an appropriate manner?
• Safe Settings: does the access facility limit unauthorised use?
• Safe Data: is there a disclosure risk in the data itself?
• Safe Outputs: are the research results non-disclosive i.e. they do not compromise privacy or breach confidentiality?
contact@ardc.edu.au
Churches, Tim
Jorm, Louisa
ARDC, Storage and Compute Summit, FAIR, Infrastructure, NCRIS, eResearch, training material
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/records/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
Exploratory Data Analysis
This is the second of three modules in our exciting new machine learning workshop series by the Sydney Informatics Hub (SIH).
Module 1: https://youtu.be/dMwHFhKWRRI
Module 3:...
Keywords: Data analysis, training material
Exploratory Data Analysis
https://youtu.be/HVAFflj2PS0
https://dresa.org.au/materials/exploratory-data-analysis
This is the second of three modules in our exciting new machine learning workshop series by the Sydney Informatics Hub (SIH).
**Module 1**: [https://youtu.be/dMwHFhKWRRI](https://youtu.be/dMwHFhKWRRI)
**Module 3**: [https://github.com/Sydney-Informatics-Hub/Module3R](https://github.com/Sydney-Informatics-Hub/Module3R)
*The Sydney Informatics Hub is a Core Research Facility at The University of Sydney, enabling excellence in research* [https://sydney.edu.au/informatics-hub](https://sydney.edu.au/informatics-hub)
sih.training@sydney.edu.au
Zhang, Eden (orcid: 0000-0003-0294-3734)
Mori, Giorgia (orcid: 0000-0003-3469-5632)
Data analysis, training material
National Transfusion Dataset Secure eResearch Platform (SeRP)/SafeHaven Training
A short training video for NTD users on how to access and use the SeRP once data access is granted.
Keywords: research data, Data analysis, research data management
National Transfusion Dataset Secure eResearch Platform (SeRP)/SafeHaven Training
https://www.transfusiondataset.com/training-and-user-guides
https://dresa.org.au/materials/national-transfusion-dataset-secure-eresearch-platform-serp-safehaven-training
A short training video for NTD users on how to access and use the SeRP once data access is granted.
sphpm.ntd@monash.edu
research data, Data analysis, research data management
Introduction to Data Cleaning with OpenRefine
Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data...
Keywords: data skills, Data analysis
Resource type: tutorial
Introduction to Data Cleaning with OpenRefine
https://griffithunilibrary.github.io/data-cleaning-intro/
https://dresa.org.au/materials/introduction-to-data-cleaning-with-openrefine
Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data in a structured or semi-structured format.
s.stapleton@griffith.edu.au;
Sharron Stapleton
data skills, Data analysis
mbr
phd
ecr
researcher
support
professional
VOSON Lab Code Blog
The VOSON Lab Code Blog is a space to share methods, tips, examples and code. Blog posts provide techniques to construct and analyse networks from various API and other online data sources, using the VOSON open-source software and other R based packages.
Keywords: visualisation, Data analysis, data collections, R software, Social network analysis, social media data, Computational Social Science, quantitative, Text Analytics
Resource type: tutorial, other
VOSON Lab Code Blog
https://vosonlab.github.io/
https://dresa.org.au/materials/voson-lab-code-blog
The VOSON Lab Code Blog is a space to share methods, tips, examples and code. Blog posts provide techniques to construct and analyse networks from various API and other online data sources, using the VOSON open-source software and other R based packages.
robert.ackland@anu.edu.au
visualisation, Data analysis, data collections, R software, Social network analysis, social media data, Computational Social Science, quantitative, Text Analytics
researcher
support
phd
masters
Galaxy Training
Galaxy is a hosted web-accessible platform that lets you conduct accessible, reproducible, and transparent computational biological research. It is an international, community driven effort to make it easy for life scientists to analyse their data for free and without the need for programmatic...
Keywords: Galaxy Australia, Galaxy Project, Bioinformatics, Data analysis
Galaxy Training
https://training.galaxyproject.org/training-material/
https://dresa.org.au/materials/galaxy-training
Galaxy is a hosted web-accessible platform that lets you conduct accessible, reproducible, and transparent computational biological research. It is an international, community driven effort to make it easy for life scientists to analyse their data for free and without the need for programmatic skills.
This is a collection of tutorials developed and maintained by the worldwide Galaxy community that show you how to analyse a variety of biological data using Galaxy.
Melissa (melissa@biocommons.org.au)
Galaxy Australia, Galaxy Project, Bioinformatics, Data analysis